混合量子进化算法及其在多用户检测中的应用

Hybrid Quantum Evolutionary Algorithms and Its Application in Multiuser Detection

将量子进化算法(QEA)和粒子群算法(PSO)互相结合,提出了两种混合量子进化算法.通过对多用户检测问题的求解表明,新的算法不仅操作更简单,而且全局搜索能力有了显著的提高.

Inspired by the idea of hybrid optimization algorithms, this paper proposes two hybrid quantum evolutionary algorithms （QEA） based on combining QEA with particle swarm optimization （PSO）. The experiment re,suits of multiuser detection problem show that both of the proposed methods not only have simpler algorithm structure, but also perform better than conventional QEA and BPSO in terms of ability of global optimum.